- Prelims: Science and technology, Artificial intelligence(AI), Generative AI, Big Data, GANs, ChatGPT1 tool, DALL.E2 etc
- Mains GS Paper III and IV: Significance of technology for India, AI, indigenisation of technology and development of new technology.
ARTICLE HIGHLIGHTS
- The CEO of ChatGPT-maker OpenAI said that dangers regarding artificial intelligence are the “very subtle societal misalignments” that could make the systems wreak havoc.
- The evolution of meritocracy has witnessed significant transformations, influenced by the critiques and analyses of thinkers such as Michael Young, Michael Sandel, and Adrian Wooldridge.
- AI is projected to add $500 billion to India’s economy by 2025, accounting for 10% of the country’s target GDP.
INSIGHTS ON THE ISSUE
Context
Artificial intelligence(AI):
- It is a branch of computer science dealing with the simulation of intelligent behavior in computers.
- It describes the action of machines accomplishing tasks that have historically required human intelligence.
- It includes technologies like machine learning, pattern recognition, big data, neural networks, self algorithms etc.
- g: Facebook’s facial recognition software which identifies faces in the photos we post, the voice recognition software that translates commands we give to Alexa, etc are some of the examples of AI already around us.
Generative AI:
- It is a cutting-edge technological advancement that utilizes machine learning and artificial intelligence to create new forms of media, such as text, audio, video, and animation.
- With the advent of advanced machine learning capabilities: It is possible to generate new and creative short and long-form content, synthetic media, and even deep fakes with simple text, also known as prompts.
AI innovations:
- GANs (Generative Adversarial Networks)
- LLMs (Large Language Models)
- GPT (Generative Pre-trained Transformers)
- Image Generation to experiment
- Create commercial offerings like DALL-E for image generation
- ChatGPT for text generation.
- It can write blogs, computer code, and marketing copies and even generate results for search queries.
Meritocracy:
- Individuals are rewarded and advanced based on their abilities, achievements and hard work, rather than their social status or background.
Varied views by philosophers on meritocracy:
● Young(British sociologist): foresaw a dystopian meritocratic world in his book, The Rise of the Meritocracy (1958).
○ He envisioned a future, specifically 2034, as a society where social class and mobility were determined solely by intelligence and effort
○ Measured through standardized testing and educational achievement.
○ Emerging trend towards a merit-based system: It would lead to a new form of social stratification.
● Sandel’s critique: focuses on the divisive consequences
○ Meritocracy fosters a sense of entitlement among the successful and resentment among those left behind, thereby eroding social cohesion.
● Critical theorists(including Frankfurt School) argue on lines by critiquing meritocracy for masking deeper power dynamics and inequalities.
○ Meritocracy can perpetuate social hierarchies by legitimizing the status of the elite under the guise of fairness and neutrality.
● Post-structuralists challenge the notion of merit, questioning who defines merit and how it is measured.
○ They argue that concepts of merit are socially constructed and reflect the biases and interests of those in power.
○ Post-structuralism highlights the fluidity and contingency of merit
○ meritocratic systems are inherently subjective and can reinforce existing inequalities.
Difference between Young’s dystopian vision of meritocracy and others model:
- Young’s model led to a rigid class system and Sandel’s emphasis on its moral and social repercussions,
- Wooldridge lays stress on the practical evolution of meritocracy and its potential for reform.
- In book:The Aristocracy of Talent, he explores how meritocracy, initially a force for progress and social mobility
- It has inadvertently fostered new inequalities by becoming somewhat hereditary, with privileges being passed down generations.
- Wooldridge believes in its intuitive fairness and proposes reforms that include making selective schools as “escalators into the elite.
- Improving access for underprivileged students and advocating better technical education.
How Artificial Intelligence (AI) will be reshaping merit and the idea of meritocracy?
- AI questions the basis of human merit by introducing a non-human entity capable of performing tasks, making decisions
- Creating’ at levels that can surpass human abilities.
- If machines perform the majority of tasks previously deemed as requiring human intelligence and creativity, the traditional metrics of merit become less relevant.
- OpenAI’s Sora is evidence that creativity is not an exclusive human trait any more.
- The advent of AI challenges the traditional notion of individual merit by prioritizing access to technology.
- Individuals with access to AI tools gain a significant advantage, not necessarily due to their personal abilities, but because of the enhanced capabilities of these tools.
- AI systems trained on historical data can perpetuate and even exacerbate biases present in that data
- leading to discriminatory outcomes in areas such as hiring, law enforcement, and lending.
- These biases can disadvantage groups which are already marginalized.
- A recent paper published in Nature Medicine showed that an AI tool can predict pancreatic cancer in a patient three years before radiologists can make the diagnosis.
- It can lead to the displacement of jobs that involve routine, predictable tasks.
- AI would impact high-wage jobs.
- AI would push the workforce towards either high-skill, high-wage jobs
- involving complex problem-solving and creativity or low-skill, low-wage jobs requiring physical presence and personal interaction, which AI cannot replicate yet.
- The polarization will exacerbate socioeconomic disparities, as individuals without access to high-level education and training are pushed towards lower-wage roles.
- The opaque nature of many AI algorithms, coupled with the concentration of power in a few tech giants, poses significant challenges to accountability.
- The black box’ nature of many AI systems can obscure these criteria, making it difficult for individuals to know how to advance or challenge decisions made by AI, thus eroding the meritocratic ideal.
Ethical Issues with AI:
Way Forward
- At the organizational level, the core of AI’s power lies in data and algorithms that process this data.
- Tech giants with access to unprecedented volumes of data have a distinct advantage in training more sophisticated and accurate AI models.
- These entities can set the standards for what constitutes ‘merit’ in the digital age, potentially sidelining smaller players who may have innovative ideas but need access to similar datasets.
- Recalibrating meritocracy in the face of AI advancements demands a sophisticated understanding of the interplay between technology and societal structures.
- It calls for a deliberate rethinking of how merit is defined and rewarded when AI tools can both augment human capabilities and deepen existing inequalities.
QUESTION FOR PRACTICE
What are the different elements of cyber security ? Keeping in view the challenges in cyber security, examine the extent to which India has successfully developed a comprehensive National Cyber Security Strategy.(UPSC 2022) (200 WORDS, 10 MARKS)
